Antimicrobial resistance crisis: could artificial intelligence be the solution?

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Antimicrobial resistance crisis: could artificial intelligence be the solution?

REVIEW | Updated：2025-02-24

- Antimicrobial resistance crisis: could artificial intelligence be the solution?
- “In the face of the global public health threat of antimicrobial resistance, the World Health Organization (WHO) has released a priority list of pathogens for which new antibiotics need to be developed. However, the discovery and introduction of new antibiotics are time-consuming and expensive. In this context, artificial intelligence (AI) has been rapidly applied to drug development, significantly improving the efficiency of discovering new antibiotics. This paper summarizes the recent progress in the field of antibacterial drug development and utilization, including small molecules, antimicrobial peptides, phage therapy, essential oils, as well as resistance mechanism prediction and antibiotic stewardship.”
- Guang-Yu Liu , Dan Yu , Mei-Mei Fan , Xu Zhang , Ze-Yu Jin , Christoph Tang , Xiao-Fen Liu
- Military Medical Research Vol. 12, Issue 1, Pages: 72-95(2025)
- Affiliations：
  1.Department of Immunology and Pathogen Biology, School of Basic Medical Sciences, Hangzhou Normal University, Key Laboratory of Aging and Cancer Biology of Zhejiang Province, Key Laboratory of Inflammation and Immunoregulation of Hangzhou, Hangzhou Normal University, Hangzhou 311121, China
  2.National Key Discipline of Pediatrics Key Laboratory of Major Diseases in Children Ministry of Education, Laboratory of Dermatology, Beijing Pediatric Research Institute, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing 100045, China
  3.Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN 55905, USA
  4.Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN 55905, USA
  5.Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
  6.Sir William Dunn School of Pathology, University of Oxford, Oxford OX1 3RE, UK
  7.Institute of Antibiotics, Huashan Hospital, Fudan University, Key Laboratory of Clinical Pharmacology of Antibiotics, National Health Commission of the People’s Republic of China, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China
- Author bio：
  *christoph.tang@path.ox.ac.uk;
  xiaofenliu@fudan.edu.cn
- Funds：
- DOI： 10.1186/s40779-024-00510-1
  CLC：
- Accepted：
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